Results 111 to 120 of about 3,959 (191)

Comparison of QAOA with Quantum and Simulated Annealing

, 2019
We present a comparison between the Quantum Approximate Optimization Algorithm (QAOA) and two widely studied competing methods, Quantum Annealing (QA) and Simulated Annealing (SA). To achieve this, we define a class of optimization problems with respect to their spectral properties which are exactly solvable with QAOA.
Streif, Michael, Leib, Martin
openaire   +2 more sources

Convergence of digitized-counterdiabatic QAOA: circuit depth versus free parameters

New Journal of Physics
Recently, digitized-counterdiabatic (CD) quantum approximate optimization algorithm (QAOA) has been proposed to make QAOA converge to the solution of an optimization problem in fewer steps, inspired by Trotterized CD driving in continuous-time quantum ...
Mara Vizzuso, Gianluca Passarelli, Giovanni Cantele, Procolo Lucignano   +3 more
doaj   +1 more source

QAOA pseudo-Boltzmann states

, 2022
Peer ...
openaire   +1 more source

Quantum simulation and optimization in hot quantum networks

, 2019
Cirac, J., Kirchmair, G., Lukin, M., Schuetz, M., Vandersypen, L., Vermersch, B., Zoller, P.   +6 more
core   +1 more source

Adaptive intelligent controller for a lower limb rehabilitation robot using QAOA-based online membership optimization. [PDF]

Sci Rep
Abd-Elhaleem S, El-Garawany AH, El-Brawany M.   +2 more
europepmc   +1 more source

Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]

Entropy (Basel)
Engelsberger A, Pšeničkova M, Villmann T.   +2 more
europepmc   +1 more source

Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut. [PDF]

Sci Rep
Lee X, Yan X, Xie N, Saito Y, Kurosawa L, Asai N, Cai D, Lau HC.   +7 more
europepmc   +1 more source

QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]

PLoS One
Lella KK, Mallu SRK.
europepmc   +1 more source

Quantum approximate multi-objective optimization. [PDF]

Nat Comput Sci
Kotil A, Pelofske E, Riedmüller S, Egger DJ, Eidenbenz S, Koch T, Woerner S.   +6 more
europepmc   +1 more source

Multiclass portfolio optimization via variational quantum Eigensolver with Dicke state ansatz. [PDF]

Sci Rep
Scursulim JVS, Langeloh GM, Beltran VL, Brito S.   +3 more
europepmc   +1 more source